A wider view of guest sentiment
Different signals can be considered together instead of as isolated ratings and comments.
Product strategy · reputation intelligence · practical AI
Turning scattered guest signals into earlier action
GetRevues.ai was created to help hospitality businesses understand the real guest experience across reviews, social conversations and direct interactions.
Think Menai shaped the product proposition and built the platform around review aggregation, sentiment analysis, operational insight and a virtual concierge.
- Hospitality SaaS
- Sentiment analysis
- Human-led action
Reputation is shaped in the stay, not only when a review is published.Listen, understand, respond
The challenge
The guest story was spread across channels and often discovered too late.
- 01Feedback was fragmented
Review sites, social channels and direct guest conversations offered separate pieces of the same experience.
- 02Ratings hid operational detail
A score alone did not reveal the recurring service issues, strengths or topics behind guest sentiment.
- 03Public reviews came after the moment
Hospitality teams needed a better chance to identify and resolve concerns while they could still help the guest.
What we built
A reputation product focused on what teams can do next
We created the commercial proposition, platform architecture and interface for a hospitality intelligence product that brings guest signals into a more useful operational view.
AI supports the classification and interpretation of large volumes of feedback. The virtual concierge creates a direct route for common guest questions and earlier issue escalation, while people remain responsible for service recovery and decisions.
The role of AI is to surface patterns and priority. Hospitality still depends on a human team responding well.AI with an operational purpose
- 01
Multi-channel listening
A shared structure for reviews and wider public sentiment reduces the need to inspect channels in isolation.
- 02
Sentiment intelligence
AI-assisted analysis helps reveal recurring themes, changing mood and feedback that deserves attention.
- 03
Virtual concierge
A direct guest interaction layer can answer common questions and route concerns towards the right team.
- 04
Product and market system
Brand, waitlist journey, pricing structure and platform experience support a coherent route towards market validation.
The observable result
A focused product for reputation before reaction
GetRevues.ai demonstrates a commercially defined AI product where data collection, interpretation and guest interaction are designed around a real hospitality management problem.
Patterns become easier to act on
AI-assisted analysis helps teams focus attention without removing human judgement.
A credible route from insight to response
The concierge and dashboard connect reputation intelligence to the guest experience itself.
The lesson for practical AI
Use AI to reveal the work that needs a human.
We can turn a valuable business signal into a focused AI product with clear guardrails, operational relevance and a marketable proposition.
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